AI Applications in Sheet Metal Forming (Record no. 79965)

000 -LEADER
fixed length control field 03893nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-981-10-2251-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801221717.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161027s2017 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811022517
-- 978-981-10-2251-7
082 04 - CLASSIFICATION NUMBER
Call Number 620.16
245 10 - TITLE STATEMENT
Title AI Applications in Sheet Metal Forming
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 290 p. 231 illus.
490 1# - SERIES STATEMENT
Series statement Topics in Mining, Metallurgy and Materials Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 An overview of applications of artificial intelligence (AI) in sheet metal work -- Generic classification and representation of shape features in sheet-metal parts -- Feature Extraction and Manufacturability Assessment of Sheet Metal Parts -- Knowledge Based System for Design of Blanking Dies -- Knowledge-Based System for Design of Deep Drawing Die for Axisymmetric Parts -- An Integrated Approach for Optimized Process Planning of Multistage Deep Drawing -- Knowledge Based System for Design of Deep Drawing Die for Elliptical Shape Parts -- An Expert System for Automatic Design of Compound Dies -- Prediction of Die Life of Compound Die using ANN -- Knowledge Based System for Automatic Design of Bending Dies.
520 ## - SUMMARY, ETC.
Summary, etc This book comprises chapters on research work done around the globe in the area of artificial intelligence (AI) applications in sheet metal forming. The first chapter offers an introduction to various AI techniques and sheet metal forming, while subsequent chapters describe traditional procedures/methods used in various sheet metal forming processes, and focus on the automation of those processes by means of AI techniques, such as KBS, ANN, GA, CBR, etc. Feature recognition and the manufacturability assessment of sheet metal parts, process planning, strip-layout design, selecting the type and size of die components, die modeling, and predicting die life are some of the most important aspects of sheet metal work. Traditionally, these activities are highly experience-based, tedious and time consuming. In response, researchers in several countries have applied various AI techniques to automate these activities, which are covered in this book. This book will be useful for engineers working in sheet metal industries, and will serve to provide future direction to young researchers and students working in the area.
700 1# - AUTHOR 2
Author 2 Kumar, Shailendra.
700 1# - AUTHOR 2
Author 2 Hussein, Hussein M. A.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-10-2251-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2017.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Metals.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Manufactures.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Metals and Alloys.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machines, Tools, Processes.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2364-3307
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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